{"title":"基于遗传算法的船舶螺旋桨优化设计技术","authors":"M. Karim, M. Ikehata","doi":"10.5957/pss-2000-16","DOIUrl":null,"url":null,"abstract":"A genetic algorithm (GA) based optimization technique for the design of systematic series propellers, e.g., B-series, Gawn, Newton-Rader series etc. is studied in this research and its applicability has been verified. Using polynomial expressions for thrust and torque coefficients of these propellers as functions of blade area ratio, pitch ratio, advance coefficient and number of blades, GA searches for an improved propeller of maximum efficiency under some design requirements and imposed constraints. In this study, GA is found as a reliable tool for optimization of marine propeller.","PeriodicalId":295991,"journal":{"name":"Day 2 Thu, September 21, 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A Genetic Algorithm (GA) Based Optimization Technique for the Design of Marine Propeller\",\"authors\":\"M. Karim, M. Ikehata\",\"doi\":\"10.5957/pss-2000-16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A genetic algorithm (GA) based optimization technique for the design of systematic series propellers, e.g., B-series, Gawn, Newton-Rader series etc. is studied in this research and its applicability has been verified. Using polynomial expressions for thrust and torque coefficients of these propellers as functions of blade area ratio, pitch ratio, advance coefficient and number of blades, GA searches for an improved propeller of maximum efficiency under some design requirements and imposed constraints. In this study, GA is found as a reliable tool for optimization of marine propeller.\",\"PeriodicalId\":295991,\"journal\":{\"name\":\"Day 2 Thu, September 21, 2000\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 2 Thu, September 21, 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5957/pss-2000-16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Thu, September 21, 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5957/pss-2000-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Genetic Algorithm (GA) Based Optimization Technique for the Design of Marine Propeller
A genetic algorithm (GA) based optimization technique for the design of systematic series propellers, e.g., B-series, Gawn, Newton-Rader series etc. is studied in this research and its applicability has been verified. Using polynomial expressions for thrust and torque coefficients of these propellers as functions of blade area ratio, pitch ratio, advance coefficient and number of blades, GA searches for an improved propeller of maximum efficiency under some design requirements and imposed constraints. In this study, GA is found as a reliable tool for optimization of marine propeller.
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